Knowledge Hut

FEBRUARY 11, 2023

Data analysis is a part of the business development and innovation of superior products. Hence, the scope for data analysis is ever-growing. In addition, the data analyst plays a role in identifying potential possibilities for product and business development. The table below shows the variations.

Retail 52

Retail Education Healthcare Data Mining 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JUNE 4, 2024

A data scientist is a person who is better at statistics than any programmer and better at programming than any statistician. Data science is the idea to "understand and analyzing actual phenomena" with data by integrating statistics, machine learning, data analysis, and their related techniques.

Data Science 52

Data Science Data Mining Media Recruitment 52

Knowledge Hut

DECEMBER 26, 2023

BI encourages using historical data to promote fact-based decision-making instead of assumptions and intuition. Data analysis is carried out by business intelligence platform tools, which also produce reports, summaries, dashboards, maps, graphs, and charts to give users a thorough understanding of the nature of the business.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

JANUARY 18, 2024

For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation. It also helps organizations to maintain complex data processing systems with machine learning. Who Is a Full-Stack Data Scientist?

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

DECEMBER 27, 2023

A business analyst can be employed in a wide range of industries, including healthcare, education, finance, retail, and hospitality. Business analysts have a wide range of responsibilities, including data analysis, report writing, and business process improvement (BPI). Experience working with data is also essential.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

ProjectPro

APRIL 2, 2015

Retail big data analytics is the future of retail as it separates the wheat from the chaff. Retail industry is rapidly adopting the data centric technology to boost sales. Retailers who use predictive analytics achieve 73% higher sales than those who have never done it. billion in 2014 to $4.5

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

FEBRUARY 8, 2023

Apache Kafka Use Cases in Banking Below are a few examples of Kafka use cases in the banking industry- Real-time Streaming Analytics Thousands of transaction events occur in a high-volume trading environment every second, requiring efficient data analysis.

Kafka 52

Kafka Banking Healthcare Medical 52

Knowledge Hut

JANUARY 19, 2024

Retail Retail is a specialization in the MBA program that deals with different business aspects such as merchandising, consumer behavior, supply chain management, & retail analytics. Students also learn about retail marketing & promotion strategies.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

Knowledge Hut

NOVEMBER 16, 2023

Java or J2E and Its Frameworks Java or J2EE is one of the most trusted, powerful and widely used technology by almost all the medium and big organizations around domains, like banking and insurance, life science, telecom, financial services, retail and much, much more. This is one of the best and most advanced sophisticated applications.

Technology 98

Technology MySQL MongoDB Google Cloud 98

Knowledge Hut

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g.,

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

JANUARY 19, 2024

Multiple tools in this field help in efficient data analysis and provide reports in the form of spreadsheets and more for a quick and better understanding of the user. Walmart BI Strategy Walmart is a retail store that uses data analysis to study consumer behaviors.

Business Intelligence 52

Business Intelligence BI Raw Data Data Warehouse 52

Knowledge Hut

JANUARY 18, 2024

The demand for data analysts can be attributed to the increasing importance of data-driven decision-making in businesses and organizations of all sizes. As a result, data analysts are playing an essential role in shaping the strategic direction of businesses across various industries, from healthcare to finance to retail.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

Knowledge Hut

FEBRUARY 12, 2023

Over the years, the demand for data science job opportunities in US has grown dramatically because various industries have realized the potential and applications of data science. Data scientists find their roles in retail, research and development, the pharmaceutical industry, healthcare, e-commerce, marketing, and finance.

Data Science 52

Data Science Computer Science Portfolio Certification 52

Knowledge Hut

JANUARY 11, 2024

BI is a trending and highly used domain that combines business analytics, data visualization, data mining, and multiple other data-related operations. Businesses use the best practices coming under business intelligence to mine their data and extract the information essential to make significant business decisions.

Business Intelligence 52

Business Intelligence BI Raw Data Media 52

ProjectPro

DECEMBER 14, 2021

Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4. Financial Performance Analysis 5. Healthcare Sales Analysis Intermediate-Level Power BI Project Ideas 6. Airport Authority Data Analysis 12. Covid-19 Insights Analysis 13.

BI 52

BI Project Business Intelligence Datasets 52

Knowledge Hut

NOVEMBER 28, 2023

The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

Edureka

FEBRUARY 18, 2023

This may involve cleaning the data, formatting it, and structuring it in a way that is useful for analysis. Data analysis: The next step is to analyze the data to identify trends, patterns, and insights. This helps decision-makers to quickly and easily interpret the data and identify key insights.

Business Intelligence 52

Business Intelligence BI SQL Data Analysis 52

Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. Once this knowledge is applied, the data is cleaned and organized using techniques such as data analysis, feature engineering, and machine learning to make it usable and reliable.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. You will learn about Python, SQL, statistical modeling and data analysis.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

ProjectPro

AUGUST 24, 2021

To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better. So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. Blob Storage for intermediate storage of generated predictions.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

DECEMBER 21, 2021

The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners. You can use the dataset and the linear regression machine-learning algorithm to forecast retail sales in this project. Data Engineer Data engineers develop and maintain the data platforms that machine learning and AI systems rely on.

Machine Learning 52

Machine Learning Engineering Algorithm Data Science 52

U-Next

SEPTEMBER 19, 2022

Power BI Integrated is another valuable tool that operates on the Azure cloud platform and can be used for report designing, ETL, and data analysis. Power BI can do real-time analysis by connecting directly to information sources. You can do a calculation using the measure function without adding data. Power BI Dashboard.

BI 40

BI Business Intelligence Datasets Retail 40

U-Next

OCTOBER 27, 2022

This type of Machine Learning is most commonly used in data analysis and predictive modeling. . This type of learning is used in data mining, natural language processing, and many other applications. . For example, if you’re a retailer selling products online. Unsupervised Learning: .

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

OCTOBER 16, 2022

This type of Machine Learning is most commonly used in data analysis and predictive modeling. . This type of learning is used in data mining, natural language processing, and many other applications. . For example, if you’re a retailer selling products online. Unsupervised Learning: .

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

ProjectPro

DECEMBER 17, 2021

Corporación Favorita is a large grocery retailer in Ecuador. Mercari is a community-driven shopping app in the United States that wanted data science enthusiasts like you to help its users decide the right price. Complete Solution: Retail Price Recommendation with R 5.

Data Science 52

Data Science Medical Machine Learning Datasets 52

ProjectPro

JANUARY 15, 2021

Look no further…Whether it’s Retail , Healthcare, Banking & Finance , Crime, or, really any other kind of machine learning dataset, we’ve curated a list of top machine learning datasets on everything to help you make your models successful. Why you need machine learning datasets?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

ProjectPro

OCTOBER 18, 2021

Solved end-to-end Recommender System Projects with Source Code Machine learning for Retail Price Recommendation with Python Recommender System Machine Learning Project for Beginners-1 Expedia Hotel Recommendations Data Science Project 2. To build such ML projects, you must know different approaches to cleaning raw data.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

FEBRUARY 8, 2016

Different types, types, and stages of data analysis have emerged due to the big data revolution. Data analytics is booming in boardrooms worldwide, promising enterprise-wide strategies for business success. The main techniques used here are data mining and data aggregation. using data and information.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

ProjectPro

MARCH 15, 2016

Table of Contents Hadoop Distributed File System (HDFS) Hadoop MapReduce Hadoop in the Financial Sector Hadoop in Healthcare Sector Hadoop for Telecom Industry Hadoop in Retail Sector Hadoop for Building Recommendation System Studying Hadoop use cases will help to – 1.) Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

JULY 15, 2021

Projects based on cloud computing have applications in entertainment, education, healthcare, retail, banking, marketing, and other industrial and business domains. One of the critical areas you must consider is that the application will work and respond based on the data provided.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. Data Cleaning — Explaining the data inconsistencies and how did you handle them. End to End Data Science Workflow —  Like any other dataset, I will first check for null and understand the % of null values.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

MARCH 17, 2014

Big Data Analytics tackles even the most challenging business problems through high-performance analytics. To add on to this, organizations are realizing that distinct properties of deep learning and machine learning are well-suited to address their requirements in novel ways through big data analytics. So Big Data is a Big Deal!

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

MARCH 27, 2014

.” Image Credit : slideshare The growing enterprise importance in Hadoop and other big data technologies like Hive, Pig, HBase , MapReduce, Zookeeper, and Hcatalog is driving demand for increased number of Hadoop developer jobs and Hadoop administration jobs with healthy paying premiums.

Hadoop 40

Hadoop Big Data Java Data Mining 40

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist?

Data Science 52

Data Science Retail Computer Science Entertainment 52